Derivation of Fuzzy Rules for Model-Free Tuning of PID Controllers

Issue title: Fuzzy Logic and Neural Networks: Theory and Applications

Article type: Research Article

Authors: Baras, John S.^; | Patel, Nital S.

Affiliations: Institute for Systems Research and Department of Electrical Engineering, University of Maryland, at College Park, College Park, MD 20742

Note: [] Martin Marietta Chair in Systems Engineering.

Abstract: In this article we derive the rules for a fuzzy logic based PID tuner (expert) for dominant pole systems with large rise times. We present applications of the expert to a third-order plant, separator temperature control, and pH control. It is observed that the expert can successfully tune the PlD gains without requiring any process identification.

DOI: 10.3233/IFS-1995-3106

Journal: Journal of Intelligent and Fuzzy Systems, vol. 3, no. 1, pp. 59-69, 1995